Update README.md
Browse files
README.md
CHANGED
|
@@ -18,12 +18,12 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
|
|
| 18 |
|
| 19 |
### Model Description
|
| 20 |
- **Model Type:** Sentence Transformer
|
| 21 |
-
|
| 22 |
- **Maximum Sequence Length:** 512 tokens
|
| 23 |
- **Output Dimensionality:** 1024 tokens
|
| 24 |
- **Similarity Function:** Cosine Similarity
|
| 25 |
-
|
| 26 |
-
|
| 27 |
<!-- - **License:** Unknown -->
|
| 28 |
|
| 29 |
### Model Sources
|
|
@@ -74,42 +74,6 @@ print(similarities.shape)
|
|
| 74 |
# [3, 3]
|
| 75 |
```
|
| 76 |
|
| 77 |
-
<!--
|
| 78 |
-
### Direct Usage (Transformers)
|
| 79 |
-
|
| 80 |
-
<details><summary>Click to see the direct usage in Transformers</summary>
|
| 81 |
-
|
| 82 |
-
</details>
|
| 83 |
-
-->
|
| 84 |
-
|
| 85 |
-
<!--
|
| 86 |
-
### Downstream Usage (Sentence Transformers)
|
| 87 |
-
|
| 88 |
-
You can finetune this model on your own dataset.
|
| 89 |
-
|
| 90 |
-
<details><summary>Click to expand</summary>
|
| 91 |
-
|
| 92 |
-
</details>
|
| 93 |
-
-->
|
| 94 |
-
|
| 95 |
-
<!--
|
| 96 |
-
### Out-of-Scope Use
|
| 97 |
-
|
| 98 |
-
*List how the model may foreseeably be misused and address what users ought not to do with the model.*
|
| 99 |
-
-->
|
| 100 |
-
|
| 101 |
-
<!--
|
| 102 |
-
## Bias, Risks and Limitations
|
| 103 |
-
|
| 104 |
-
*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
|
| 105 |
-
-->
|
| 106 |
-
|
| 107 |
-
<!--
|
| 108 |
-
### Recommendations
|
| 109 |
-
|
| 110 |
-
*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
|
| 111 |
-
-->
|
| 112 |
-
|
| 113 |
## Training Details
|
| 114 |
|
| 115 |
### Framework Versions
|
|
@@ -123,22 +87,17 @@ You can finetune this model on your own dataset.
|
|
| 123 |
|
| 124 |
## Citation
|
| 125 |
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
<!--
|
| 129 |
-
## Glossary
|
| 130 |
-
|
| 131 |
-
*Clearly define terms in order to be accessible across audiences.*
|
| 132 |
-
-->
|
| 133 |
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
| 142 |
-
|
| 143 |
-
|
| 144 |
-
|
|
|
|
|
|
| 18 |
|
| 19 |
### Model Description
|
| 20 |
- **Model Type:** Sentence Transformer
|
| 21 |
+
- **Base model:** [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3)
|
| 22 |
- **Maximum Sequence Length:** 512 tokens
|
| 23 |
- **Output Dimensionality:** 1024 tokens
|
| 24 |
- **Similarity Function:** Cosine Similarity
|
| 25 |
+
- **Training Dataset:** [crazyjeannot/fr_literary_dataset_base](https://huggingface.co/datasets/crazyjeannot/fr_literary_dataset_base)
|
| 26 |
+
- **Language:** French
|
| 27 |
<!-- - **License:** Unknown -->
|
| 28 |
|
| 29 |
### Model Sources
|
|
|
|
| 74 |
# [3, 3]
|
| 75 |
```
|
| 76 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 77 |
## Training Details
|
| 78 |
|
| 79 |
### Framework Versions
|
|
|
|
| 87 |
|
| 88 |
## Citation
|
| 89 |
|
| 90 |
+
If you find this repository useful, please consider giving a star :star: and citation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 91 |
|
| 92 |
+
```
|
| 93 |
+
@inproceedings{barre_latent_2024,
|
| 94 |
+
title={Latent {Structures} of {Intertextuality} in {French} {Fiction}},
|
| 95 |
+
author={Barré, Jean},
|
| 96 |
+
address = {Aarhus, Denmark},
|
| 97 |
+
series = {{CEUR} {Workshop} {Proceedings}},
|
| 98 |
+
booktitle = {Proceedings of the {Conference} on {Computational} {Humanities} {Research} CHR2024},
|
| 99 |
+
publisher = {CEUR},
|
| 100 |
+
editor = {Haverals, Wouter and Koolen, Marijn and Thompson, Laure},
|
| 101 |
+
year = {2024},
|
| 102 |
+
}
|
| 103 |
+
```
|